Bingquan Liu
29 papers · 2005–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π€
Dynamic Duo
(15)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Silver
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(118)
Top co-authors
Research topics
Natural Language Processing
(15)
Machine Learning
(14)
Deep Learning
(11)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(9)
Applications
(9)
Core AI
(9)
Resources & Methods
(7)
Generation
(6)
Learning Types Β· Deep Learning
(6)
Models
(4)
Knowledge & Reasoning
(2)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Keywords
question answering
(4)
knowledge graph
(4)
text generation
(3)
large language model
(3)
conversational emotion recognition
(2)
neural network
(2)
sentiment analysis
(2)
language model
(2)
multi-hop question answering
(2)
pre-trained language model
(2)
knowledge base
(2)
dialogue system
(2)
multimodal learning
(2)
response generation
(2)
emotion recognition
(2)
commonsense reasoning
(2)
information retrieval
(2)
factual knowledge
(2)
ai-generated content
(1)
text classification
(1)
Papers
CRΒ³: Boosting Compositional Reasoning in MLLMs Through Rule-Based Reinforcement Learning
AAAI 2026
ERCThinker: Fast-Slow Thinking for Emotion Recognition in Conversation
ACL 2026
JoPR: Joint Emotion Perception and Reasoning for Conversational Emotion Recognition
ACL 2026
Sparse Attention Across Multiple-Context KV Cache
AAAI 2026
A Dual Contrastive Learning Framework for Enhanced Multimodal Conversational Emotion Recognition
COLING 2025
DCBU at GenAI Detection Task 1: Enhancing Machine-Generated Text Detection with Semantic and Probabilistic Features
COLING 2025
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
AAAI 2025
LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics
COLING 2025
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
AAAI 2024
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
EMNLP 2024
RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA
AAAI 2023
HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA)
SemEval 2022
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
ACL 2022
Pre-training Language Models with Deterministic Factual Knowledge
EMNLP 2022
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
AAAI 2021
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations
EMNLP 2021
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples
SemEval 2020
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing
ACL 2019
ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention
SemEval 2018
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics
NAACL 2018
ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing
SemEval 2017
Neural Response Generation via GAN with an Approximate Embedding Layer
EMNLP 2017
VRCA: A Clustering Algorithm for Massive Amount of Texts
IJCAI 2015
WINGS:Writing with Intelligent Guidance and Suggestions
ACL 2014
Multimodal DBN for Predicting High-Quality Answers in cQA portals
ACL 2013
Generating Questions from Web Community Contents
COLING 2012
Learning to Detect Hedges and their Scope Using CRF
CoNLL 2010
Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities
ACL 2010
Principles of Non-stationary Hidden Markov Model and Its Applications to Sequence Labeling Task
IJCNLP 2005